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Document type:
Forschungsdaten
Publication date:
28.09.2020
Responsible:
Mohan, Nitinder
Author affiliation:
TUM
Publisher:
TUM
Title:
Pruning Edge Research with Latency Shears
Identifier:
Time of production:
20.09.2020
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Experimente und Beobachtungen / experiments and observations; Textdokumente / text documents
Data type:
Texte / texts; Tabellen / tables; Datenbanken / data bases
Description:
Cloud datacenter to user connectivity dataset collected over RIPE Atlas. The dataset accompanies research article “Pruning Edge Research with Latency Shears” accepted at ACM HotNets 2020
Method of data assessment:
The dataset includes PING measurements from 3200+ RIPE ATLAS probes to 98 datacenters of seven major cloud providers, i.e. Google, Amazon, Microsoft, Digital Ocean, Linode, Alibaba and Vultr. The data collection lasted from September 2019 to January 2020.
Key words:
Cloud, Edge computing; RIPE Atlas; Cloud connectivity; Internet measurements
Technical remarks:
View and download (1.6 GB total, 6 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1574595):
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1574595):
rsync rsync://m1574595@dataserv.ub.tum.de/m1574595/ Language:
de
Rights:
by, http://creativecommons.org/licenses/by/4.0
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